Agentic AI platform for governed execution
Build and configure agents, coordinate stateful missions, and operate them across approved tools and channels. Createting keeps autonomy, resource scope, approvals and execution evidence connected across the operating layer.
Built for work that can change external systems—not just generate another answer.
Customer Operations Agent
Recover at-risk renewals
Commercial concession
Exact action paused before external effectThe operating layer
Createting separates configuration, coordination, execution policy and operational evidence. The states below are configured product examples—not customer results.
Identity, instructions, capabilities, runtime settings and policy stay attached to one reusable agent definition.
A read, a consequential write and a prohibited export do not receive the same authority.
The represented action changes visibly before a consequential submit becomes available.
Dependencies, workers and replanning remain connected to mission state instead of disappearing into separate chats.
Inspect mission state, approvals, environment events and the evidence required to understand what happened next.
Go deeper into the mechanisms behind the configured states.
Business outcomes
Platform model
Pathways and Thinkways
Define and execute versioned node-and-edge workflows when sequence, inputs and transitions should stay explicit.
Define reasoning flows with modes, tools, skills, conditions and human-approval nodes when context changes how work should proceed.
Call sub-pathways and subagents from governed flows so deterministic stages can surround bounded model-led work.
One operating model · multiple execution surfaces
Prefer explicit interfaces when they exist. Connect approved tools, MCP resources, knowledge and external APIs to the same agent authority model.
When enabled and available in the target environment, agents can operate interfaces directly where the workflow does not expose the right API.
When configured for the deployment, connect live customer conversations to business context, permitted tool actions, approvals and contextual human handoff.
Governed execution
Memory and context
Tools, integrations and extensibility
Security and evidence
Proof
Product examples are labeled as configured states and kept separate from customer results or performance claims.
Explore Agent Studio and Runtime →Use the docs to inspect platform concepts, runtime boundaries and the contracts behind the visible product surfaces.
Read the architecture →Use the changelog to track product changes over time instead of relying on static feature promises.
Read the changelog →Architecture, autonomy, integrations and deployment — answered in the same terms the platform actually uses.
Createting is an agentic AI platform for building, configuring, coordinating and operating AI agents across business workflows. It connects Agent Studio, Agent Runtime, the Orchestrator and Mission Control with tools, knowledge, memory and supported execution surfaces such as browser and computer execution, voice and chat, under explicit execution controls and evidence.
Traditional automation is strongest when every step can be predefined. Createting supports deterministic Pathways for that work, but also adds agentic Thinkways, model-driven decisions, subagents, durable missions, human approvals and operational oversight for workflows that need to adapt to changing context.
Agent Studio is the configuration surface for custom agents. Teams can define an agent’s role, instructions, model behavior, tools, knowledge, memory, conditions, capabilities and autonomy boundaries before testing and deployment.
The Orchestrator coordinates goals, missions, agents, tools and execution across multi-step work. Mission Control is the operating surface for observing durable work, progress, traces, approvals and intervention points while that work is running.
Pathways are deterministic workflows for steps and conditions that should execute predictably. Thinkways are agentic reasoning workflows for tasks that require interpretation, planning or adaptation. They can be combined when one business process needs both deterministic control and agentic reasoning.
Autonomy is configured around what an agent is allowed to do, not just whether it is called autonomous. Actions can be permitted, blocked or routed to human approval based on their scope, target, conditions and expected side effects, with states such as ALLOW, ASK and DENY used throughout the operating model.
Agents can be connected to approved business systems through APIs, REST endpoints, webhooks, functions, MCP-compatible integrations and custom tools. The goal is to scope each resource to the agent and workflow that actually needs it rather than giving every agent unrestricted access.
Browser and computer execution can be enabled for workflows where a reliable API is unavailable or incomplete. Availability depends on the configured environment and target workflow. When used, those sessions can remain part of the same mission, approval and evidence flow instead of becoming a separate automation layer.
Yes. Createting is not a voice-only platform. Voice and chat can be used as interaction channels for agents while the underlying tools, knowledge, policies, mission state and handoff logic remain connected to the broader agentic platform.
Knowledge bases provide approved source context that agents can retrieve during work. Memory can preserve relevant context or state where it is configured. Both are treated as controlled resources and should complement, not replace, authoritative business systems and records.
Createting implements scoped resources, tenant-scoped runtime context, explicit action authority, human approval gates and execution evidence. These are implementation controls, not a compliance certification. Consequential actions can be paused before an external effect occurs, reviewed by an operator and then resumed or denied according to policy.
The right commercial and deployment model depends on workload volume, models, channels, integrations, support requirements and infrastructure constraints. The platform, implementation consulting, and private or hybrid model infrastructure are separate decisions so teams can scope only what the workflow requires.
Start with one concrete workflow. Map its repeatability, systems, decisions, risks and approval boundaries first; then determine whether the best architecture is a deterministic Pathway, an agent, a durable mission or a hybrid. The workflow assessment is designed for exactly this first step.
Start with one workflow
Map value, systems, action risk and approval boundaries before committing to a larger agent rollout.